Dorn Yuriy Vladimirovich

Yuriy Dorn, Dmitrii Vishovan, Kirill Novoselov, Ilya Kuruzov, Darina Dvinskikh, Alexander Gasnikov. Beyond Aggregate Drift: Optimal Client-Specific Windows in Federated Learning (2026). arXiv preprint arXiv:2610.15543.

Yuriy Dorn, Osman Osmanov, Timofei Loginov, Nazarii Tupitsa, Darina Dvinskikh, Alexander Gasnikov. Adaptive two-points zero-order accelerated methods for stochastic convex optimization problems (2026). arXiv preprint arXiv:2610.15202.

Nhat Trung Nguyen, Ivan Dorofeev, Irina Podlipnova, Yuriy Dorn, Alexander Gasnikov. Complexity of Multiblock Convex-Concave Saddle-Point Problems with General Smooth Coupling (2026). arXiv preprint arXiv:2610.12656.

Kirill Novoselov, Yuriy Dorn, Darina Dvinskikh, Alexander Gasnikov. Optimal Rates for Federated Variational Inequalities under different relaxations of bounded variance assumption (2026). arXiv preprint arXiv:2610.12641.

Timofei Loginov, Darina Dvinskikh, Nazarii Tupitsa, Osman Osmanov, Yuriy Dorn, Alexander Gasnikov. Minimax Oracle Call Complexity, Rounds and Admissible Noise in Zeroth-Order Optimization of Highly Smooth Functions (2026). arXiv preprint arXiv:2610.05517.

Ilya Kuruzov, Dmitrii Vishovan, Kirill Novoselov, Yuriy Dorn, Darina Dvinskikh, Alexander Gasnikov. Asking the Crowd the Right Question: Bias-Cancelling Weights for Federated Learning (2026). arXiv preprint arXiv:2610.04671.

Yuriy Dorn, Darina Dvinskikh, Timofei Loginov, Osman Osmanov, Aleksandr Shestakov, Nazarii Tupitsa, Alexander Gasnikov. Lower Bounds For Gradient-Free Convex Optimization And Convex-Concave Saddle-Point Problems (2026). arXiv preprint arXiv:2610.00345.

Alexandra Suvorikova, Egor Gladin, Darina Dvinskikh, Artem Agafonov, Mohammad Alkousa, Yuriy Dorn, Vladislav Matyukhin, Alexander Gasnikov. Clipped or Unclipped? Finite-Sample Trade-offs for Averaged SGD under Heavy-Tailed Noise (2026). arXiv preprint arXiv:2609.32962.

Timofei Loginov, Alexander Gasnikov, Yuriy Dorn, Aleksandr Shestakov, Nazarii Tupitsa, Osman Osmanov, Darina Dvinskikh. The Complexity of Convex Optimization with Mismatched Geometry (2026). arXiv preprint arXiv:2609.32910.

Irina Podlipnova, Maxim Mashtaler, Artem Agafonov, Yuriy Dorn, Alexander Gasnikov. Smooth or Separable? Sparse Block Acceleration for Entropy-Regularized Linear Programs (2026). arXiv preprint arXiv:2609.32558.

Ilgam Latypov, Alexandra Suvorikova, Alexey Kroshnin, Alexander Gasnikov, Yuriy Dorn. UCB-type Algorithm for Budget-Constrained Expert Learning (2025) arXiv preprint arXiv:2510.22654

Dorn, Y., Kornilov, N., Kutuzov, N., Nazin, A., Gorbunov, E., Gasnikov, A. Implicitly normalized forecaster with clipping for linear and non-linear heavy-tailed multi-armed bandits (2024) Computational Management Science, 21 (1), статья № 19. Scopus DOI Q3

Gasnikov, A.V., Alkousa, M.S., Lobanov, A.V., Dorn, Y.V., Stonyakin, F.S., Kuruzov, I.A., Singh, S.R. On Quasi-Convex Smooth Optimization Problems by a Comparison Oracle (2024) Russian Journal of Nonlinear Dynamics, 20 (5), pp. 813-825. Scopus DOI Q3

Nikita Kornilov, Yuriy Dorn, Aleksandr Lobanov, Nikolay Kutuzov, Innokentiy Shibaev, Eduard Gorbunov, Alexander Gasnikov, Alexander Nazin. Median Clipping for Zeroth-order Non-Smooth Convex Optimization and Multi-Armed Bandit Problem with Heavy-tailed Symmetric Noise (2024)

Nikita Kornilov, Yuriy Dorn, Aleksandr Lobanov, Nikolay Kutuzov, Innokentiy Shibaev, Eduard Gorbunov, Alexander Gasnikov, Alexander Nazin. Zeroth-order median clipping for non-smooth convex optimization problems with heavy-tailed symmetric noise (2024)

Alexandra Suvorikova, Darina Dvinskikh, Yuriy Dorn, Alexander Gasnikov. When Momentum Helps Polyak--Ruppert Averaging (2026). arXiv preprint arXiv:2610.27990.